Low-dimensional dynamics for working memory and time encoding.

ABSTRACT: Our decisions often depend on multiple sensory experiences separated by time delays. The brain can remember these experiences and, simultaneously, estimate the timing between events. To understand the mechanisms underlying working memory and time encoding, we analyze neural activity recorded during delays in four experiments on nonhuman primates. To disambiguate potential mechanisms, we propose two analyses, namely, decoding the passage of time from neural data and computing the cumulative dimensionality of the neural trajectory over time. Time can be decoded with high precision in tasks where timing information is relevant and with lower precision when irrelevant for performing the task. Neural trajectories are always observed to be low-dimensional. In addition, our results further constr

SUBMITTER: Cueva CJ 

PROVIDER: S-EPMC7502752 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature